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distilbert-base-uncased – AI Model by gunkaynar | AlphaNeural AI

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gunkaynar/
distilbert-base-uncased

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text-classification

generated_from_trainer

gunkaynar/distilbert-base-uncased

autotrain_compatible

endpoints_compatible

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distilbert-base-uncased

This model is a fine-tuned version of gunkaynar/distilbert-base-uncased on the None dataset. It achieves the following results on the evaluation set:

eval_loss: 0.4930
eval_accuracy: 0.7391
eval_f1: 0.7946
eval_runtime: 63.7885
eval_samples_per_second: 878.073
eval_steps_per_second: 54.884
step: 0

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

learning_rate: 2e-05
train_batch_size: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 2

Framework versions

Transformers 4.33.3
Pytorch 2.1.1
Datasets 2.14.7
Tokenizers 0.11.0